satpy.readers.mirs module

Interface to MiRS product.

class satpy.readers.mirs.MiRSL2ncHandler(filename, filename_info, filetype_info, limb_correction=True)[source]

Bases: BaseFileHandler

MiRS handler for NetCDF4 files using xarray.

The MiRS retrieval algorithm runs on multiple sensors. For the ATMS sensors, a limb correction is applied by default. In order to change that behavior, use the keyword argument limb_correction=False:

from satpy import Scene, find_files_and_readers

filenames = find_files_and_readers(base_dir, reader="mirs")
scene = Scene(filenames, reader_kwargs={'limb_correction': False})

Init method.

apply_attributes(data, ds_info)[source]

Combine attributes from file and yaml and apply.

File attributes should take precedence over yaml if both are present

available_datasets(configured_datasets=None)[source]

Dynamically discover what variables can be loaded from this file.

See satpy.readers.file_handlers.BaseHandler.available_datasets() for more information.

property end_time: Get end time.

force_date(key)[source]: Force datetime.date for combine.

force_time(key)[source]: Force datetime.time for combine.

get_dataset(ds_id, ds_info)[source]: Get datasets.

property platform_shortname: Get platform shortname.

property sensor_names: Return standard sensor names for the file’s data.

property start_time: Get start time.

update_metadata(ds_info)[source]: Get metadata.

satpy.readers.mirs.apply_atms_limb_correction(datasets, channel_idx, dmean, coeffs, amean, nchx, nchanx)[source]: Calculate the correction for each channel.

satpy.readers.mirs.get_coeff_by_sfc(coeff_fn, bt_data, idx)[source]: Read coefficients for specific filename (land or sea).

satpy.readers.mirs.limb_correct_atms_bt(bt_data, surf_type_mask, coeff_fns, ds_info)[source]: Gather data needed for limb correction.

satpy.readers.mirs.read_atms_coeff_to_string(fn)[source]: Read the coefficients into a string.

satpy.readers.mirs.read_atms_limb_correction_coefficients(fn)[source]: Read the limb correction files.